Purpose This study aims to examine the volatility spillovers between Bitcoin (BTC), Litecoin (LTC) and Ethereum (ETH) as they are related to structural breaks. Design/methodology/approach This study examines the daily period from August 7, 2015 to July 10, 2018 by conducting causality-in-mean and causality-in-variance tests among cryptocurrencies. Findings The findings showed that there was one-way causality-in-mean from BTC to LTC and ETH, but there was no causality-in-mean from LTC and ETH to BTC. On the other hand, considering the structural breaks included in the variance equations, the estimation results showed that there were short-term causality-in-variance from LTC to BTC and long-term causality-in-variance from BTC to LTC. Originality/value This study fills the gap by contributing in two ways. First, to the best of the authors’ knowledge, this is the first study that used the cross-correlation function (CCF) of causality to explore causality-in-variance among cryptocurrencies. Second, this study considers the structural breaks in variance in the return series.

Purpose Bitcoin has recently become the focal point of investors as a digital currency and an alternative payment method. Despite Bitcoin being in the spotlight, a gap in the literature on its price-setting behaviors has been observed. This study aims to contribute to the literature by investigating the relationship between Bitcoin price and volume in the period between January 1, 2012 and April 7, 2018 through a symmetric and asymmetric causality test. Design/methodology/approach Daily price and volume data relevant to Bitcoin traded in the Bitstamp market were obtained from www.bitcoincharts.com. Within the framework of data applicable for analysis, the data set for this study includes a total of 2,286 observations for the period between January 1, 2012 and April 7, 2018. Findings Based on the results of the standard causality test, a causality relationship was determined from price to volume. Based on the results of the asymmetric causality test between positive and negative shocks of variables, a unilateral causality relationship was determined from negative shocks in Bitcoin prices to negative shocks in trading volume as well as from positive shocks in trading volume to positive shocks in prices. Furthermore, it was found that the relationship between Bitcoin price and volume is cointegrated. Practical implications The empirical results can be used by investors and portfolio managers to make trading decisions. Originality/value The contribution of this paper to the literature is that it is the first study on the symmetric and asymmetric causality relationship between Bitcoin price and volume. Moreover, this paper reveals short- and long-term behaviors of Bitcoin using the cointegration test used for determining the long-term relationship between Bitcoin price and volume.

In this paper, we examine the effect of explosive behaviors in the Bitcoin market on the top 10 largest stock markets of developed and emerging countries. The daily dataset, including the Dow Jones Industrial Index (DJIA), Nasdaq (NSQ), Shanghai Composite Index (SSE), Nikkei 225 (N225), Hang Seng Index (HSI), Shenzhen Composite Index (SZSE), Euronext Amsterdam Index (AEX), London Stock Exchange (LSE), Toronto Stock Exchange (TSX), and Bombay Stock Exchange (BSE), spans July 21, 2010, to December 9, 2022. We first investigate the existence of explosive price behaviors using the bubble detection test of Phillips and Shi and the results provide evidence of multiple bubble episodes, coinciding with the monetary policy actions of the FED and ECB. Then, we address the question of whether the explosive behaviors detected affect the variance of equity returns by employing a GARCH model. The impact is negative, albeit its magnitude and significance vary among stock indices.

Purpose -The aim of this study is to determine whether it is appropriate to diversify between the Turkish stock exchange and the BRICS stock exchange for individual investors that diversifying internationally and portfolio managers For this purpose, a long and short relationship between the Turkish stock exchange and BRICS stock exchanges was investigated.Methodology -In the study in which monthly data of the stock exchanges of Turkey and BRICS countries of the dates between January 2003 and June 2017 were used, The ARDL boundary test developed by Pesaran et al. (2001), was used as the method. Findings -As a result, it has been determined that the Indian and Brazilian stock markets are short-term and long-term, while the Russian stock market is only short-term cointegrated with the Turkish stock exchange. Whereas, there is no short or long term relationship between the Chinese and South African stock exchanges and the Turkish stock Exchange. Conclusion -When creating a portfolio of investors or portfolio managers in Turkey, they should not include stocks from India and Brazilian stock exchanges if a long-term portfolio is to be created. while preparing a short-term portfolio, they should not add stocks from Russian stock market as well as these two countries. Instead they will be able to diversify stocks from China and South Africa stock exchanges to diversify their basket additions.

Bu çalışmanın amacı, gelişmekte olan ülkelerde doğrudan yabancı sermaye yatırımlarının (DYSY) reel sektörde ve borsada firmalara etkisini ölçmektir. Bu amaçla gelişmekte olan on ülkede 2002-2015 dönemine ait yıllık veriler ile panel veri analizi yapılmıştır. Panel veri analiz yöntemlerinden Westerlund (2006) eşbütünleşme, AMG katsayı tahmincisi ve Emirmahmutoğlu-Köse nedensellik testi kullanılmıştır. Analizler neticesinde değişkenlerin eşbütünleşik oldukları belirlenmesine rağmen DYSY'lerin borsada firmalara pozitif etkisi anlamlı bulunurken reel sektördeki etkisi anlamlı bulunmamıştır. Bununla birlikte ülkelere ait etkilerin, her iki modelde de ülkeden ülkeye farklılık gösterdiği belirlenmiştir. Ayrıca firmanın piyasa değerinden DYSY'ye doğru ve DYSY'den de reel sektöre doğru nedensellik olduğu tespit edilmiştir.